Hiroshi Motoda
According to our database1,
Hiroshi Motoda
authored at least 195 papers
between 1983 and 2023.
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Bibliography
2023
Constructing outlier-free histograms with variable bin-width based on distance minimization.
Intell. Data Anal., 2023
2022
Efficient computation of expected motif frequency in uncertain graphs by exploiting possible world marginalization and motif transition.
Soc. Netw. Anal. Min., 2022
2021
General framework of opening and closing shops over a spatial network based on stochastic utility under competitive and time-bounded environment.
Soc. Netw. Anal. Min., 2021
Efficient computation of target-oriented link criticalness centrality in uncertain graphs.
Intell. Data Anal., 2021
Efficient analytical computation of expected frequency of motifs of small size by marginalization in uncertain network.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
2020
Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes.
Int. J. Data Sci. Anal., 2020
Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links.
Proceedings of the Discovery Science - 23rd International Conference, 2020
Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020
2019
Critical Node Identification based on Articulation Point Detection for Uncertain Network.
Int. J. Netw. Comput., 2019
Efficient Identification of Critical Links Based on Reachability Under the Presence of Time Constraint.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network.
Proceedings of the Discovery Science - 22nd International Conference, 2019
2018
Accurate and efficient detection of critical links in network to minimize information loss.
J. Intell. Inf. Syst., 2018
Intell. Data Anal., 2018
Efficient Detection of Critical Links to Maintain Performance of Network with Uncertain Connectivity.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Critical Link Identification Based on Bridge Detection for Network with Uncertain Connectivity.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018
Critical Node Identification Based on Articulation Point Detection for Network with Uncertain Connectivity.
Proceedings of the Sixth International Symposium on Computing and Networking, 2018
2017
An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Maximizing Network Performance Based on Group Centrality by Creating Most Effective k-Links.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
2016
Super mediator - A new centrality measure of node importance for information diffusion over social network.
Inf. Sci., 2016
Int. J. Data Sci. Anal., 2016
Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016
Looking back on the current day: interruptibility prediction using daily behavioral features.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
Proceedings of the Discovery Science - 19th International Conference, 2016
2015
Change point detection for burst analysis from an observed information diffusion sequence of tweets.
J. Intell. Inf. Syst., 2015
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015
Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the Discovery Science - 18th International Conference, 2015
Combining activity-evaluation information with NMF for trust-link prediction in social media.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
A New Approach for Item Ranking Based on Review Scores Reflecting Temporal Trust Factor.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014
Proceedings of the Discovery Science - 17th International Conference, 2014
2013
ACM Trans. Intell. Syst. Technol., 2013
Learning to predict opinion share and detect anti-majority opinionists in social networks.
J. Intell. Inf. Syst., 2013
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013
Proceedings of the Discovery Science - 16th International Conference, 2013
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes.
Proceedings of the Asian Conference on Machine Learning, 2013
2012
Knowl. Inf. Syst., 2012
Learning Asynchronous-Time Information Diffusion Models and its Application to Behavioral Data Analysis over Social Networks
CoRR, 2012
Graph embedding on spheres and its application to visualization of information diffusion data.
Proceedings of the 21st World Wide Web Conference, 2012
Effect of In/Out-Degree Correlation on Influence Degree of Two Contrasting Information Diffusion Models.
Proceedings of the Social Computing, Behavioral - Cultural Modeling and Prediction, 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2012
Proceedings of the Discovery Science - 15th International Conference, 2012
2011
Proceedings of the 3rd Asian Conference on Machine Learning, 2011
Proceedings of the 3rd Asian Conference on Machine Learning, 2011
Learning information diffusion model in a social network for predicting influence of nodes.
Intell. Data Anal., 2011
Learning Information Diffusion Models from Observation and Its Application to Behavior Analysis.
Proceedings of the Social Informatics - Third International Conference, SocInfo 2011, 2011
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011
Proceedings of the Discovery Science - 14th International Conference, 2011
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
2010
Proceedings of the 2nd Asian Conference on Machine Learning, 2010
Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, 2010
Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, 2010
Data Min. Knowl. Discov., 2010
Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network.
Proceedings of the Advances in Social Computing, 2010
Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010
Proceedings of the Discovery Science - 13th International Conference, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
ACM Trans. Knowl. Discov. Data, 2009
Proceedings of the IJCAI 2009, 2009
Proceedings of the Discovery Science, 12th International Conference, 2009
Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis.
Proceedings of the Advances in Machine Learning, 2009
2008
IEEE Trans. Knowl. Data Eng., 2008
Solving the Contamination Minimization Problem on Networks for the Linear Threshold Model.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining.
Proceedings of the Knowledge Acquisition: Approaches, 2008
Proceedings of the Knowledge Acquisition: Approaches, 2008
Community analysis of influential nodes for information diffusion on a social network.
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
New Gener. Comput., 2007
Proceedings of the 16th International Conference on World Wide Web, 2007
Proceedings of the New Trends in Applied Artificial Intelligence, 2007
Proceedings of the Computational Discovery of Scientific Knowledge, 2007
2006
Web Intell. Agent Syst., 2006
Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search.
Proceedings of the Advances in Knowledge Acquisition and Management, 2006
Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006
Analysis on a Relation Between Enterprise Profit and Financial State by Using Data Mining Techniques.
Proceedings of the New Frontiers in Artificial Intelligence, 2006
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
2005
New Gener. Comput., 2005
Enhancing the plausibility of law equation discovery through cross check among multiple scale-type-based models.
J. Exp. Theor. Artif. Intell., 2005
Fundam. Informaticae, 2005
Fundam. Informaticae, 2005
Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet (SAINT 2005), 31 January, 2005
Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 31 January, 2005
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
Proceedings of the New Frontiers in Artificial Intelligence, 2005
Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos.
Proceedings of the Discovery Science, 8th International Conference, 2005
Proceedings of the Federation over the Web, 2005
Refining diagnostic knowledge extracted from interferon therapy by graph-based induction.
Proceedings of the 2005 International Conference on Active Media Technology, 2005
Performance evaluation of fusing two different knowledge sources in Ripple Down Rules method.
Proceedings of the 2005 International Conference on Active Media Technology, 2005
2004
Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving.
Mach. Learn., 2004
Intell. Data Anal., 2004
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004
Proceedings of the New Frontiers in Artificial Intelligence - JSAI 2003 and JSAI 2004 Conferences and Workshops, Niigata, Japan, June 23-27, 2003 and Kanazawa, Japan, May 31, 2004
Proceedings of the New Frontiers in Artificial Intelligence - JSAI 2003 and JSAI 2004 Conferences and Workshops, Niigata, Japan, June 23-27, 2003 and Kanazawa, Japan, May 31, 2004
Proceedings of the Discovery Science, 7th International Conference, 2004
2003
Mach. Learn., 2003
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003
Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003
Proceedings of the Discovery Science, 6th International Conference, 2003
Proceedings of the Active Mining, Second International Workshop, 2003
Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction.
Proceedings of the Active Mining, Second International Workshop, 2003
2002
Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002
Feature Selection with Selective Sampling.
Proceedings of the Machine Learning, 2002
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002
Proceedings of the Progress in Discovery Science, 2002
Proceedings of the Discovery Science, 5th International Conference, 2002
2001
A Description Length-Based Decision Criterion for Default Knowledge in the Ripple Down Rules Method.
Knowl. Inf. Syst., 2001
Proceedings of the Web Intelligence: Research and Development, 2001
Proceedings of the Knowledge Discovery and Data Mining, 2001
Proceedings of the New Frontiers in Artificial Intelligence, 2001
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001
Proceedings of the Machine Learning: EMCL 2001, 2001
2000
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
Proceedings of the Knowledge Discovery and Data Mining, 2000
Proceedings of the Knowledge Discovery and Data Mining, 2000
Enhancing the Plausibility of Law Equation Discovery.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data.
Proceedings of the Discovery Science, 2000
1999
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999
A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999
Computer Assisted Discovery of First Principle Equations from Numeric Data (Abstract).
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999
Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999
Proceedings of the Discovery Science, 1999
Proceedings of the Discovery Science, 1999
Proceedings of the Discovery Science, 1999
1998
Discovery of first-principle equations based on scale-type-based and data-driven reasoning.
Knowl. Based Syst., 1998
IEEE Intell. Syst., 1998
Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998
Proceedings of the Machine Learning: ECML-98, 1998
Proceedings of the Discovery Science, 1998
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998
The Springer International Series in Engineering and Computer Science 454, Kluwer, ISBN: 978-1-4615-5689-3, 1998
1997
Discovering Admissible Models of Complex Systems Based on Scale-Types and Idemtity Constraints.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997
1996
Int. J. Hum. Comput. Interact., 1996
Process Labeled Kernel Profiling: A New Facility to Profile System Activities.
Proceedings of the USENIX Annual Technical Conference, 1996
Proceedings of the PRICAI'96: Topics in Artificial Intelligence, 1996
1995
Proceedings of the USENIX 1995 Technical Conference on UNIX and Advanced Computing Systems, 1995
Tables, Graphs and Logic for Induction.
Proceedings of the Machine Intelligence 15, 1995
1994
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994
1993
On dealing with dynamic utility of learned knowledge.
Proceedings of the Machine Intelligence 14, 1993
Proceedings of the Algorithmic Learning Theory, 4th International Workshop, 1993
Proceedings of the Algorithmic Learning Theory, 4th International Workshop, 1993
Proceedings of the Algorithmic Learning Theory, 4th International Workshop, 1993
1992
Learning Perceptually Chunked Macro Operators.
Proceedings of the Machine Intelligence 13, 1992
1991
The use of abstract primitives in representing the meanings of "Verbs" for understanding metaphors.
Proceedings of the Algorithmic Learning Theory, 2nd International Workshop, 1991
1990
IEEE Expert, 1990
1988
Proving Definite Clauses without Explicit Use of Inductions.
Proceedings of the Logic Programming '88, 1988
1984
A Knowledge based System for Plant Diagnosis.
Proceedings of the International Conference on Fifth Generation Computer Systems, 1984
1983
Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983